#!/usr/bin/python3

import requests
import base64


def login():

    req = requests.session()

    # 2获取图片
    yzImaUrl = "https://kyfw.12306.cn/passport/captcha/captcha-image?login_site=E&module=login&rand=sjrand"
    pic_response = req.get(yzImaUrl)
    codeImage = pic_response.content
    fn = open('code2.png', 'wb')
    fn.write(codeImage)
    fn.flush()
    fn.close()

    # 判断验证码是否正确
    codeStr = input('请输入验证码坐标:')

    codeStrCoded = codeStr.replace(',', '%2C')

    headers = {
        'Host': 'kyfw.12306.cn',
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:72.0) Gecko/20100101 Firefox/72.0',
        'Accept': '*/*',
        'Accept-Language': 'zh-CN,zh;q=0.8,zh-TW;q=0.7,zh-HK;q=0.5,en-US;q=0.3,en;q=0.2',
        'Accept-Encoding': 'gzip, deflate, br',
        'Origin': 'https://kyfw.12306.cn',
        'Connection': 'keep-alive',
        'Referer': 'https://kyfw.12306.cn/otn/resources/login.html',
        # 'Cookie': '_passport_session=25db01dd99e64d1aa966caaa4e3f0f319975; _passport_ct=1d459370cc544250b1a3f31a9940639ct1369; RAIL_EXPIRATION=1578681295917; RAIL_DEVICEID=owuTzD0nAKatmqCPjWBDE1-jqmCQysIW3rFSi2rDty6iEQ0sNKHt-dSAAjNkxQvk9QuM9dUkg1f0Cz0O2kFUb5BNcpgijb6bgLsdQY5cxRDdKSP9e-HceS806NMm6QrEduRRXC0ivCqNg9p5Kq--vbkUMNB4zbbK; _jc_save_fromStation=%u5E7F%u5DDE%2CGZQ; _jc_save_toStation=%u5317%u4EAC%2CBJP; _jc_save_fromDate=2020-01-07; _jc_save_toDate=2020-01-03; _jc_save_wfdc_flag=dc; ten_key=QvLzlIgzTvmrEYGXfviWOtclWu3SYhib; ten_js_key=QvLzlIgzTvmrEYGXfviWOtclWu3SYhib; BIGipServerotn=4141285642.24610.0000; BIGipServerpassport=1005060362.50215.0000; route=495c805987d0f5c8c84b14f60212447d'
    }
    # url = "https://kyfw.12306.cn/passport/captcha/captcha-check?callback=jQuery19107182059148252586_1578311356472&answer=" + codeStr + "&rand=sjrand&login_site=E"
    url = "https://kyfw.12306.cn/passport/captcha/captcha-check?callback=jQuery191020460912656578278_1578404648626&answer=" + codeStrCoded + "&rand=sjrand&login_site=E"

    print(url)
    response = req.get(url, headers=headers)
    result = response.text
    print(result)

    # 正式用账号密码登录
    url = "https://kyfw.12306.cn/passport/web/login"
    data = {
        'username': 'long655113',
        'password': '1111111z',
        'appid': 'otn',
        'answer': codeStr
    }



    respHeader = req.headers
    print(str(respHeader))
    cookie = req.cookies

    print(cookie['_passport_session'])

    # for k in cookie.keys():
    #     print(k + "\t" + cookie.get(k))

    print(str(cookie))

    cookieStr = '_passport_session=' + str(cookie.get('_passport_session'))\
                + '; _passport_ct=' + str(cookie.get('_passport_ct'))\
                + '; RAIL_EXPIRATION=1578681295917; RAIL_DEVICEID=owuTzD0nAKatmqCPjWBDE1-jqmCQysIW3rFSi2rDty6iEQ0sNKHt-dSAAjNkxQvk9QuM9dUkg1f0Cz0O2kFUb5BNcpgijb6bgLsdQY5cxRDdKSP9e-HceS806NMm6QrEduRRXC0ivCqNg9p5Kq--vbkUMNB4zbbK; _jc_save_fromStation=%u5E7F%u5DDE%2CGZQ; _jc_save_toStation=%u5317%u4EAC%2CBJP; _jc_save_fromDate=2020-01-07; _jc_save_toDate=2020-01-03; _jc_save_wfdc_flag=dc; ten_key=QvLzlIgzTvmrEYGXfviWOtclWu3SYhib; ten_js_key=QvLzlIgzTvmrEYGXfviWOtclWu3SYhib; BIGipServerotn=484966666.24610.0000; route=c5c62a339e7744272a54643b3be5bf64; BIGipServerpassport=' + str(cookie.get('BIGipServerpool_passport'))
    # headers = {
    #     'Host': 'kyfw.12306.cn',
    #     'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:72.0) Gecko/20100101 Firefox/72.0',
    #     'Accept': 'application/json, text/javascript, */*; q=0.01',
    #     'Accept-Language': 'zh-CN,zh;q=0.8,zh-TW;q=0.7,zh-HK;q=0.5,en-US;q=0.3,en;q=0.2',
    #     'Accept-Encoding': 'gzip, deflate, br',
    #     'Content-Type': 'application/x-www-form-urlencoded; charset=UTF-8',
    #     'Content-Length': '71',
    #     'Origin': 'https://kyfw.12306.cn',
    #     'Connection': 'keep-alive',
    #     'Referer': 'https://kyfw.12306.cn/otn/resources/login.html',
    #     # 'Cookie': '_passport_session=' + cookie.get('_passport_session') + '; _passport_ct=' + cookie.get('_passport_ct') + '; RAIL_EXPIRATION=1578681295917; RAIL_DEVICEID=owuTzD0nAKatmqCPjWBDE1-jqmCQysIW3rFSi2rDty6iEQ0sNKHt-dSAAjNkxQvk9QuM9dUkg1f0Cz0O2kFUb5BNcpgijb6bgLsdQY5cxRDdKSP9e-HceS806NMm6QrEduRRXC0ivCqNg9p5Kq--vbkUMNB4zbbK; _jc_save_fromStation=%u5E7F%u5DDE%2CGZQ; _jc_save_toStation=%u5317%u4EAC%2CBJP; _jc_save_fromDate=2020-01-07; _jc_save_toDate=2020-01-03; _jc_save_wfdc_flag=dc; ten_key=QvLzlIgzTvmrEYGXfviWOtclWu3SYhib; ten_js_key=QvLzlIgzTvmrEYGXfviWOtclWu3SYhib; BIGipServerotn=4141285642.24610.0000; BIGipServerpassport=' + cookie.get('BIGipServerpool_passport') + '; route=495c805987d0f5c8c84b14f60212447d',
    #     'Cookie': cookieStr
    # }

    req.headers['Host'] = 'kyfw.12306.cn'
    req.headers['User-Agent'] = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:72.0) Gecko/20100101 Firefox/72.0'
    req.headers['Accept'] = 'application/json, text/javascript, */*; q=0.01'
    req.headers['Accept-Language'] = 'zh-CN,zh;q=0.8,zh-TW;q=0.7,zh-HK;q=0.5,en-US;q=0.3,en;q=0.2'
    req.headers['Accept-Encoding'] = 'gzip, deflate, br'
    req.headers['Content-Type'] = 'application/x-www-form-urlencoded; charset=UTF-8'
    req.headers['Origin'] = 'https://kyfw.12306.cn'
    req.headers['Connection'] = 'keep-alive'
    req.headers['Referer'] = 'https://kyfw.12306.cn/otn/resources/login.html'
    req.headers['Cookie'] = cookieStr

    response = req.post(url, data=data)
    print("参数：" + str(data))
    print(response.text)


login()

# str="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"
# # 获取图片
# img_data = base64.b64decode(str)
#
# fn = open('code.png', 'wb')
# fn.write(img_data)
# fn.flush()
# fn.close()


# yzImaUrl = "https://kyfw.12306.cn/passport/captcha/captcha-image?login_site=E&module=login&rand=sjrand&1578401695700&callback=jQuery19100899830083268488_1578401679428&_=1578401679429"
# yzImaUrl = "https://kyfw.12306.cn/passport/captcha/captcha-image?login_site=E&module=login&rand=sjrand"
# response = requests.get(yzImaUrl)
# str = response.text
# print(str)

